William L. Clarke
- Endocrinology, Diabetes and Metabolism top 0.05%
- Surgery top 0.5%
- Genetics top 0.2%
- Molecular Biology top 10%
- Cardiology and Cardiovascular Medicine top 2%
- Co-authors
- Daniel J. CoxLinda Gonder‐FrederickBoris KovatchevStephen L. PohlWilliam CarterDiana M JulianDavid G. SchlundtJoel F. Habener
- Topics
- Diabetes Management and Research (96 papers)Diabetes and associated disorders (37 papers)Pancreatic function and diabetes (32 papers)
- Partner nations
- United StatesAustraliaUnited Kingdom
In The Last Decade
William L. Clarke
128 papers receiving 9.5k citations
Hit Papers
Peers
Comparison fields: 5 of 156
- Endocrinology, Diabetes and Metabolism 7.5k
- Surgery 4.2k
- Genetics 4.0k
- Molecular Biology 1.1k
- Cardiology and Cardiovascular Medicine 782
Countries citing papers authored by William L. Clarke
This map shows the geographic impact of William L. Clarke's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by William L. Clarke with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William L. Clarke more than expected).
Fields of papers citing papers by William L. Clarke
This network shows the impact of papers produced by William L. Clarke. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by William L. Clarke. The network helps show where William L. Clarke may publish in the future.
Co-authorship network of co-authors of William L. Clarke
This figure shows the co-authorship network connecting the top 25 collaborators of William L. Clarke. A scholar is included among the top collaborators of William L. Clarke based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with William L. Clarke. William L. Clarke is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 124 | |
| 2 | 17 | |
| 3 | 8 | |
| 4 | 98 | |
| 5 | 140 | |
| 6 | 53 | |
| 7 | 114 | |
| 8 | 18 | |
| 9 | 32 | |
| 10 | 25 | |
| 11 | 69 | |
| 12 | 123 | |
| 13 | 10 | |
| 14 | Pancreatic agenesis attributable to a single nucleotide deletion in the human IPF1 gene coding sequencebreakdown → | 799 |
| 15 | 490 | |
| 16 | 92 | |
| 17 | 87 | |
| 18 | Methods in diabetes research | 337 |
| 19 | 43 | |
| 20 | 12 |
About William L. Clarke
William L. Clarke is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics and Cardiology and Cardiovascular Medicine, having authored 128 papers that have together received 10.1k indexed citations. Recurring topics across this work include Diabetes Management and Research (96 papers), Diabetes and associated disorders (37 papers) and Pancreatic function and diabetes (32 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (7.5k citations), Genetics (4.0k citations) and Surgery (4.2k citations). William L. Clarke has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Daniel J. Cox, Linda Gonder‐Frederick, Boris Kovatchev, Stephen L. Pohl, William Carter, Diana M Julian, David G. Schlundt, Joel F. Habener, Doris A. Stoffers and V Stanojević. Their work appears in journals such as JAMA, Nature Genetics and The Journal of Clinical Endocrinology & Metabolism.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.